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Probabilistic Systems Analysis and Applied Probability

6.041SC · Electrical Engineering and Computer Science · Undergraduate · Fall 2013

Prof. John Tsitsiklis

MIT · Tier 1

<p>This course introduces students to the modeling, quantification, and analysis of uncertainty.&nbsp; The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management.</p> Course Format <hr> <p> This course has been designed for independent study. It provides everything you will need to understand the con…

MathematicsSystems EngineeringEngineeringScience & Math

The syllabus, on MIT OpenCourseWare

The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:

Attribution

Prof. John Tsitsiklis. 6.041SC Probabilistic Systems Analysis and Applied Probability. Fall 2013. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.

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